Location Chicago, IL or Irving, TX (Hybrid 3 days' Work from Office) Job Responsibilities: We are seeking a Senior Azure AI Document Intelligence Engineer responsible for designing, training, and optimizing AI-powered contract and invoice OCR solutions using Azure AI Document Intelligence, Azure Databricks, Azure Machine Learning, MLflow, Azure AI Search, OpenAI/GenAI, Python, and SQL, driving 98-99%+ extraction accuracy across complex supply-chain and procurement documents through advanced machine learning, document classification, validation frameworks, and intelligent automation. Skills : Azure (Bigdata Azure) Azure AI Document Intelligence, Azure Databricks, OpenAI, GenAI, Azure Machine Learning, MLflow, Azure AI Search SQL, Contract and Invoice OCR Job Responsibilities: Experience: - 12+ Years Mandatory skills 4+ years of experience in machine learning, OCR, computer vision, NLP, or intelligent document processing. Hands-on experience with Azure AI Document Intelligence or a comparable enterprise document-processing platform. Strong Python development skills. Experience with REST APIs, JSON, Azure SDKs, and asynchronous processing. Experience training and evaluating document classification and field-extraction models. Strong understanding of accuracy, precision, recall, F1 score, confidence calibration, and test-set design. Experience extracting complex tables and variable-length line items. Experience creating labelled datasets and maintaining data-quality standards. Familiarity with invoices, purchase orders, contracts, or supply-chain documents. Strong analytical, debugging, and technical-documentation skills. Preferred Qualifications Experience with Azure Machine Learning, MLflow, Azure AI Search, or Azure OpenAI. Experience with multilingual documents. Familiarity with contract clause extraction and legal-document processing. Knowledge of ERP or procurement systems such as SAP, Oracle, Dynamics 365, Coupa, or Ariba. Experience implementing active learning, model-drift monitoring, and human-in-the-loop workflows. Knowledge of data privacy and document-retention requirements. Success Measures 99% exact-match accuracy for approved critical fields. 98% exact-match accuracy across all agreed fields. Accuracy maintained across suppliers, formats, and document-quality categories. Measurable reduction in manual corrections and review time. Documented improvement process for fields that miss their thresholds. No production model deployed without passing the approved evaluation suite. Educational Qualifications: - Engineering Degree BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable
